立体中心
手性(物理)
材料科学
手性柱色谱法
对映体
高效液相色谱法
分辨率(逻辑)
手性拆分
维数之咒
相(物质)
组合化学
纳米技术
色谱法
对映选择合成
有机化学
化学
计算机科学
人工智能
催化作用
手征对称破缺
物理
量子力学
夸克
Nambu–Jona Lasinio模型
作者
José Luis Núñez‐Rico,Juanjo Cabezas‐Giménez,Vanesa Lillo,Salvador R. G. Balestra,José Ramón Galán‐Mascarós,Sofı́a Calero,Anton Vidal‐Ferran
标识
DOI:10.1021/acsami.3c08843
摘要
Metal-organic frameworks (MOFs) have become promising materials for multiple applications due to their controlled dimensionality and tunable properties. The incorporation of chirality into their frameworks opens new strategies for chiral separation, a key technology in the pharmaceutical industry as each enantiomer of a racemic drug must be isolated. Here, we describe the use of a combination of computational modeling and experiments to demonstrate that high-performance liquid chromatography (HPLC) columns packed with TAMOF-1 as the chiral stationary phase are efficient, versatile, robust, and reusable with a wide array of mobile phases (polar and non-polar). As proof of concept, in this article, we report the resolution with TAMOF-1 HPLC columns of nine racemic mixtures with different molecular sizes, geometries, and functional groups. Initial in silico studies allowed us to predict plausible separations in chiral compounds from different families, including terpenes, calcium channel blockers, or P-stereogenic compounds. The experimental data confirmed the validity of the models and the robust performance of TAMOF-1 columns. The added value of in silico screening is an unprecedented achievement in chiral chromatography.
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